Senior Big Data Engineer: Cloud Pipelines & AI Data

Publicis Groupe; Chicago, Northern (IL, KY); Hybrid; USD 136,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work model

Wellness program

Job summary

Publicis Sapient seeks a Senior Associate Data Engineer in Chicago Hybrid to design, develop, and maintain scalable Big Data solutions. You will work on large datasets, real-time processing frameworks, and cloud-based data platforms to empower data-driven decisions for clients.

You will lead data pipelines, collaborate with clients, and mentor junior engineers while delivering end-to-end data transformations and platform modernization efforts.

Qualifications

• Experience building end-to-end data pipelines and production-grade platforms.
• Hands-on with leading cloud data platforms (AWS/Azure/GCP).
• Databricks experience with notebooks, jobs, Delta Lake or lakehouse patterns.
• Strong Python for data engineering, automation, or AI workflows.
• Familiar with SQL/NoSQL databases and data modeling concepts.

Responsibilities

• Design, develop, and maintain scalable Big Data solutions for clients.
• Lead large-scale data systems and data platform modernization.
• Build batch and streaming pipelines on cloud data platforms.
• Mentor junior team members and contribute to delivery.
• Collaborate with cross-functional teams to turn requirements into designs.

Skills

Python

Cloud data platforms

Data pipelines

Databricks

MLOps awareness

Communication

Tools

AWS

Azure

GCP

Databricks

BigQuery

SQL

NoSQL

Spark

Job description

Publicis Sapient seeks a Senior Associate Data Engineer in Chicago Hybrid to design, develop, and maintain scalable Big Data solutions. You will work on large datasets, real-time processing frameworks, and cloud-based data platforms to empower data-driven decisions for clients.

You will lead data pipelines, collaborate with clients, and mentor junior engineers while delivering end-to-end data transformations and platform modernization efforts.